Luis Carlo Sevilla

Studying Data

As Professor Raymark mentioned, we generate almost petabytes of data per day. These data are now considered as goldmines to not only just Data Scientist but also people in businesses, politics, medical field, and many more. Data can be used to solidify studies and help create solutions to modern day problems and can even be used for personal use but in order to do so the process of analyzing data must be done to draw meaningful information out of the pool of unsorted data.

Application of Data Science

Policy-making

A great example of instances that data science contributed to policy-making is the action that the government did in response to the recent COVID-19 virus outbreak. Analyzing patterns and data from the pandemic helped law-makers and officials to mandate certain ordinance and policy to certain areas of our country. The decision of government officials to raise certain community quarantine rules was due to the analysis of the data they gathered from people who contracted the said virus.

Day to Day Decisions

Weather Forecast is one of the major factor that affects our day to day decision. It affects what we wear, what we eat, where should we go, and many more. Weather Forecast uses data science in order to accurately predict the weather in a certain period of time.

Scientific Research

Every content we consume in the internet—or anything technology related— has been influenced or structured by Data Science to be optimized to its greatest capability. One application that we hold near and dear to our hearts is the Autocomplete function that we can find in search engines such as Google, Bing, DuckduckGO, and many more. The autocomplete function was first developed by Kevin Gibbs who sought to create a URL Completion algorithm but later developed to be the autocomplete function we know and love. It was created with the intention of taking advantage of the technological affordances of time to make web navigation more efficient. The algorithm of this function is based on the numerous search queries of millions of the Google search engines users. It was later then optimized with the help of Artificial Intelligence to be further accurate not only based on the queries of other users but to also cater the interest and search history of the user.

Data Science and Chess

Chess can be a rather difficult and complex game and is played by millions of people all over the world. Recently, there has been a massive spike of players in online chess sites such as Lichess.com, Chess.com, and many more. Lichess.com has given a online data set of game statistics that is free to use. This data set includes 20,000 matches worth of the following data:

  • Win rate of White and Black
  • Opening Strategy Used
  • Number of Turns per Game
  • Player’s Rating

Here is a snippet of data values:

id turns victory_status winner white_rating black_rating opening_eco opening_name opening_ply
TZJHLljE 13 outoftime white 1500 1191 D10 Slav Defense: Exchange Variation 5
l1NXvwaE 16 resign black 1322 1261 B00 Nimzowitsch Defense: Kennedy Variation 4
mIICvQHh 61 mate white 1496 1500 C20 King’s Pawn Game: Leonardis Variation 3
kWKvrqYL 61 mate white 1439 1454 D02 Queen’s Pawn Game: Zukertort Variation 3
9tXo1AUZ 95 mate white 1523 1469 C41 Philidor Defense 5
MsoDV9wj 5 draw draw 1250 1002 B27 Sicilian Defense: Mongoose Variation 4
qwU9rasv 33 resign white 1520 1423 D00 Blackmar-Diemer Gambit: Pietrowsky Defense 10
RVN0N3VK 9 resign black 1413 2108 B00 Nimzowitsch Defense: Kennedy Variation | Linksspringer Variation 5
dwF3DJHO 66 resign black 1439 1392 C50 Italian Game: Schilling-Kostic Gambit 6
afoMwnLg 119 mate white 1381 1209 B01 Scandinavian Defense: Mieses-Kotroc Variation 4
HgKLWPsz 39 mate white 1381 1272 A00 Van’t Kruijs Opening 1
Vf5fKWzI 38 resign black 1381 1867 C02 French Defense: Advance Variation | Paulsen Attack 9
HRti5mKv 60 resign black 1381 1936 C00 French Defense: Knight Variation 3
2fEjSei6 31 resign black 1381 1607 C00 French Defense #2 2
u7i6dOaJ 31 mate white 1094 1141 C50 Four Knights Game: Italian Variation 8
guanvMR5 43 resign black 1141 1094 C57 Italian Game: Two Knights Defense | Knight Attack 7
PmpkWkmm 52 resign black 1094 1141 C50 Four Knights Game: Italian Variation 8
EwaK0IsE 66 mate black 1141 1094 C50 Four Knights Game: Italian Variation 8
yrSDozT3 101 resign black 1094 1300 C41 Philidor Defense #3 5

I propose to use these data to influence the decision making of a player based on the opening the opponent uses. In chess, the opening move is—I argue—one of the crucial and game-deciding part. It will show which player will be taking hold of the game. Choosing the proper opening can be crucial especially when your opponent is skilled enough to make use of the instances of the openings bring. Analyzing the data shown above, we can gather meaningful information out of the pattern that arises out of the data set and act accordingly. The method that will be used in the study would be Prescriptive Analysis so that information drawn out of the studies could give players proper insights to what opening should the player use and/or how the player will respond to the opponent’s opening.

Joshua Tirana

Importance of analyzing data

We need to study and analyze data because it is an essential factor not only in the business environment but also in our daily life. It’s not only useful for businesses to assess their place in the market and to help them make business decisions. The same thing can be applied in our day to day life.

Applications of Data Science

Policy-making

Helps in creating more productive and successful public policies. Data-based arguments are given by policy makers to provide solutions for public problems.

Policy Making

Day-to-day decisions

Ordering from an online platform such as shopee or lazada. Data analysis helps us determine from where we will buy our ordered product, which has good reviews, which has bad ones, it helps us determine whether a product has a good quality, whether the shop’s owner is accomodating, etc. It helps us make better decisions while ordering online.

Online Shopping

Scientific Researches

Helps in interpreting the data found in researches. It translates huge amounts of data to words which people can understand. Data analysis also helps in maintaining the integrity of the data, as it helps in preventing biases from the researchers.

Research

Data Science Topic

The relationship between product reviews and customers’ decision on ordering the product

The topic deals with analyzing the relationship between product ratings and the tendency for people to buy such high rated products. It aims to see whether product reviews really persuade people’s decision on buying things online. The data needed for the research can be found on shopping platforms such as shopee and lazada as well as conducting personal surveys to generate our own data. Since the topic deals with finding the relationship between two factors, a correlation statistical method such as pearson r would be used to analyze the data. People who rely on online shopping will mostly benefit from this study as it will aid them in deciding their next purchase and hopefully help them avoid ordering low quality products.

Andrew Benson Kapunan Choa

Reason to Study Data

We need to measure and monitor our performance to produce data. These data can be analyzed later on to produce trends or gaps. Analyzing data will make trends and possible problems more noticeable. That way improvements can be made based on conclusions from the data.

Application in Policy Making

The ISU is implementing procedures called project Optimization of a Decision Support System for Effective E-governance based on data analysis for measures on flood evacuation and the COVID-19 pandemic in the Cagayan Valley.

Source: BusinessMirror

Possible Data Science Topic

Do video games really improve hand-eye coordination?

Method

Take a set of people who play video games and people who don’t play video games. For the people who play video games, also include what games they usually play. (rhythm, rpg, platformer, hack n’ slash, strategy, etc.)

Both parties need to be tested based on their hand eye coordination. It cannot be video game related because that will make it biased nor can it be too strenuous (it’s not about athleticism).

Metrics

  • Accuracy
  • Reflex
  • Control
  • Attention to Detail

Karl Boncodin

Why Study and Analyze Data?

Knowing that we are generating big data in the present day with our current technology, studying and analyzing these data allows us to use this data to further improve our decision making and processing skills that could be very useful in our day to day life.

Applications of Data Science

Policy-making

Providing a proper healthcare system is one of the government’s duties and data science is used to create policies related to healthcare. Such agencies like FDA use big data and analyze them in regulating drugs and food products that are going in and out of the country to ensure that these goods that will be released to the market are safe for consumers use.

Day-to-Day Decisions

Travel/Traffic applications such as Waze and Google Maps help drivers find their desired location and directions towards it. Also, it helps them know whether there is traffic up ahead their way and redirect them to roads which have less traffic.

Scientific Researches

In the COVID-19 Outbreak, data science has helped medical scientists and experts in monitoring real time outbreaks, forecasting, and managing trends of the the outbreak countries and health organizations. It also assisted in making improvements in genome sequencing, patient care, discovering new medicine and vaccines.

Possible Data Science Topic

Strategizing in Football using Data Science

Top European football teams (eg. Manchester City, FC Barcelona, Liverpool etc.) have hired talented data scientists or partnered with data intelligence companies for long term research projects related to player performance, development and recruitment as well as opponent scouting. Due to the availability and volume of this data, whether it is physical or video data, data science allows them to analyze these data in a way that would fit with the team’s desired playing style or strategy. This gives them an added advantage.

After recently watching Azkals performance during the Asian and World Cup qualifiers, it seems to me that they know less about the teams that they are facing especially teams that are actually better than us on paper and in real life. In studying how the European teams analyze these kind of data and applying it the the system, maybe we could get much better results in the future. This mostly consists of descriptive and inferential analysis because it is both studying data about our own players and opponents and using them to develop a system that could match much better teams in the future.